Complete Data Analysis

The predictive power of any risk model is highly dependent on the quality and quantity of available data. That's why ARTO™ integrates data from labs, pharmacies, claims and free text into its proprietary, individualized, and highly-predictive risk models.

Unstructured data such as discharge summaries or radiology reports hold extremely valuable information. In particular, psychosocial information is often only captured in the unstructured data. ARTO™ has the capability to make this unstructured data machine-readable. By combining common EHR data with this previously unavailable information, CliniCast can build significantly more powerful and robust risk and cost models.

Continuous Improvement

Digital medical data is growing very rapidly.¹ Many organizations will accumulate more data in the next few years than they have collected in their history. With such dynamic growth, why should healthcare providers be limited by static risk and cost models?

At CliniCast, we have designed our risk and cost models to adaptively improve as providers accumulate more data. Ultimately, this leads to more powerful and predictive risk models, enabling providers to better manage their patient populations.